Can explain thedifferencebetween causaland maskedlanguagemodelsHas used anLLM tosummarizeresearchpapersIs familiarwith theconcept ofpromptengineeringCan namethreedifferent LLMarchitecturesHas experiencewith low-resourcelanguages inNLPKnows atleast threeprogramminglanguagesHaspublishedresearch onmultilingualLLMsCanrecommenda good AI ortech relatedpodcastHassuccessfullydebugged acomplexLLMIs currentlyworking on aprojectinvolving cross-lingual transferlearningHas apreferred AIresearch toolthey canrecommendHasattended anICMLconferencebeforeHasparticipated ina hackathonfocused on AIor LLMsHasexperiencewith fine-tuning a pre-trained LLMHas traveledinternationallyto attend thisconferenceHascontributedto an open-source AIprojectHas used agenerative AImodel tocreate art ormusicIs optimisticabout thefuture ofhuman-AIcollaborationHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel for anon-academicpurposeIs excitedabout thepotential ofLLMs ineducationIs interestedin the ethicalimplicationsof generativeAIHas learneda newlanguage inthe last yearHas collaboratedon a researchpaper withsomeone from adifferent continentCan explain thedifferencebetween causaland maskedlanguagemodelsHas used anLLM tosummarizeresearchpapersIs familiarwith theconcept ofpromptengineeringCan namethreedifferent LLMarchitecturesHas experiencewith low-resourcelanguages inNLPKnows atleast threeprogramminglanguagesHaspublishedresearch onmultilingualLLMsCanrecommenda good AI ortech relatedpodcastHassuccessfullydebugged acomplexLLMIs currentlyworking on aprojectinvolving cross-lingual transferlearningHas apreferred AIresearch toolthey canrecommendHasattended anICMLconferencebeforeHasparticipated ina hackathonfocused on AIor LLMsHasexperiencewith fine-tuning a pre-trained LLMHas traveledinternationallyto attend thisconferenceHascontributedto an open-source AIprojectHas used agenerative AImodel tocreate art ormusicIs optimisticabout thefuture ofhuman-AIcollaborationHas presenteda paper onnaturallanguagegenerationHas used agenerative AImodel for anon-academicpurposeIs excitedabout thepotential ofLLMs ineducationIs interestedin the ethicalimplicationsof generativeAIHas learneda newlanguage inthe last yearHas collaboratedon a researchpaper withsomeone from adifferent continent

Human BINGO: Navigating Generative AI and LLMs Across Languages - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Can explain the difference between causal and masked language models
  2. Has used an LLM to summarize research papers
  3. Is familiar with the concept of prompt engineering
  4. Can name three different LLM architectures
  5. Has experience with low-resource languages in NLP
  6. Knows at least three programming languages
  7. Has published research on multilingual LLMs
  8. Can recommend a good AI or tech related podcast
  9. Has successfully debugged a complex LLM
  10. Is currently working on a project involving cross-lingual transfer learning
  11. Has a preferred AI research tool they can recommend
  12. Has attended an ICML conference before
  13. Has participated in a hackathon focused on AI or LLMs
  14. Has experience with fine-tuning a pre-trained LLM
  15. Has traveled internationally to attend this conference
  16. Has contributed to an open-source AI project
  17. Has used a generative AI model to create art or music
  18. Is optimistic about the future of human-AI collaboration
  19. Has presented a paper on natural language generation
  20. Has used a generative AI model for a non-academic purpose
  21. Is excited about the potential of LLMs in education
  22. Is interested in the ethical implications of generative AI
  23. Has learned a new language in the last year
  24. Has collaborated on a research paper with someone from a different continent